Hydrological Modeling and Impact of Climate Change on Water Resources in the Ziz Valley, Central High Atlas, Morocco
			
	
 
Więcej
Ukryj
	
	
									
				1
				Functional Ecology and Environmental Engineering Laboratory, Faculty of Sciences and Technology, Sidi Mohamed Ben Abdellah University, BP Imouzer Road, Fez, Morocco
				 
			 
						
				2
				Water Sciences and Environmental Engineering Team, Department of Geology, Faculty of Sciences, Moulay Ismail University, BP 11201, Zitoune, Meknes, Morocco
				 
			 
						
				3
				Department of Geology, Carto Tec Research group, Faculty of Sciences, Moulay Ismail University, PB. 11201 Zitoune, Meknes, Morocco
				 
			 
										
				
				
		
		 
			
			
		
		
		
		
		
		
	
							
					    		
    			 
    			
    				    					Autor do korespondencji
    					    				    				
    					Anas  El Ouali   
    					Functional ecology and environmental engineering laboratory, Faculty of Science and Technology, Sidi Mohamed Ben Abdellah University, BP Imouzer Road, Fez, Morocco
    				
 
    			
				 
    			 
    		 		
			
																																 
		
	 
		
 
 
Ecol. Eng. Environ. Technol. 2023; 6:192-210
		
 
 
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
The Upper Ziz basin located in the southeast of Morocco, has a total area of 4,351 km2. The surface water feeds El Hassan Addakhil dam, which insures water supply for the downstream cities of Errachidia, Rissani, Erfoud and others along the Ziz valley. This study aimed to evaluate the availability of water resources in this basin known by its arid climate and strong climatic changes. Several global hydrological models at different times were used to simulate the discharge at the outlet. The Statistical Downscaling Model (SDSM) method has been used to reduce the average rainfall and the temperature to predict future climate change related to various Representative Concentration Pathway (RCP) scenarios such as RCP 4.5 and RCP 8.5. The results of the hydrologic models are available, with an NSE of 0.8 for the monthly model during calibration and 0.77 at validation. Future precipitation shows an increasing trend in both scenarios. As for future mean temperature, it will recognize great seasonal variability, such as warming winter and spring and cooling summer and autumn. As a result, simulated future discharge will decrease by 26% under RCP 4.5 and by 24% under RCP 8.5 in the near future.